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TheAlgorithms/Python

https://github.com/TheAlgorithms/Python · scanned 2026-06-05 04:29 UTC (9 hours, 11 minutes ago) · 10 languages

455 findings (193 legacy + 262 scanner) 8th percentile · Python · large (100-500K LoC) Scanner says 74 (lower by 17)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 9 hours, 10 minutes ago · v2 · 324 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

JSON
Score breakdown â 2026-05-18-v5
Component Sub-score Weight Contribution
structure_score 60.0 0.15 9.00
security_score 36.1 0.25 9.03
testing_score 27.0 0.20 5.40
documentation_score 100.0 0.15 15.00
practices_score 75.0 0.15 11.25
code_quality 71.5 0.10 7.15
Overall 1.00 56.8
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all

Top 10 actions, ranked by impact × ease. Severity drives impact; tag-based fix-clarity drives ease.

#1
Possible secret in other/password.py
GapSeverity.CRITICAL Layer.SECURITY score 1.000
Why: critical severity · a leaked credential is a worst-case bug · fix is short / mechanical
Fix: Rotate the credential and remove it from in other/password.py:84; move to env var / secrets manager.
other/password.py:84
#2
Possible secret in other/password.py
GapSeverity.CRITICAL Layer.SECURITY score 1.000
Why: critical severity · a leaked credential is a worst-case bug · fix is short / mechanical
Fix: Rotate the credential and remove it from in other/password.py:86; move to env var / secrets manager.
other/password.py:86
#3
No auth library detected
GapSeverity.MEDIUM Layer.SECURITY score 0.338
Why: medium severity
#4
GitHub Actions workflow grants broad write permissions
GapSeverity.MEDIUM Layer.CICD score 0.225
Why: medium severity
.github/workflows/sphinx.yml
#5
Dockerfile runs as root: .devcontainer/Dockerfile
GapSeverity.MEDIUM Layer.HARDWARE score 0.225
Why: medium severity
#6
Very low test-to-source ratio
GapSeverity.MEDIUM Layer.QUALITY score 0.225
Why: medium severity
#7
Network/subprocess call without timeout or try/except — maths/allocation_number.py:6
GapSeverity.MEDIUM Layer.QUALITY score 0.225
Why: medium severity · crashes are likely without this
Fix: Add a `timeout=N` argument and wrap in `try/except` in maths/allocation_number.py:6 to prevent hung calls.
#8
Network/subprocess call without timeout or try/except — machine_learning/sequential_minimum_optimization.py:458
GapSeverity.MEDIUM Layer.QUALITY score 0.225
Why: medium severity · crashes are likely without this
Fix: Add a `timeout=N` argument and wrap in `try/except` in machine_learning/sequential_minimum_optimization.py:458 to prevent hung calls.
#9
Network/subprocess call without timeout or try/except — neural_network/input_data.py:262
GapSeverity.MEDIUM Layer.QUALITY score 0.225
Why: medium severity · crashes are likely without this
Fix: Add a `timeout=N` argument and wrap in `try/except` in neural_network/input_data.py:262 to prevent hung calls.
#10
Possibly dead Python function: longest_palindromic_subsequence
GapSeverity.LOW Layer.SOFTWARE score 0.140
Why: low severity · clean removal is a safe PR
Fix: If genuinely unused, remove the function in dynamic_programming/longest_palindromic_subsequence.py:11; if framework-registered, add a docstring.
dynamic_programming/longest_palindromic_subsequence.py:11

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